References

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Gendt, G., 1998. IGS combination of tropospheric estimates-experience from pilot experiment. Proceedings of the IGS Analysis Center Workshop, February 9-11, 1998, Pasadena, CA., pp: 205-216.

National Instruments Cooperation, 2008. LabView^TM Database connectivity toolkit user manual. http://www.ni.com/pdf/manuals/371525a.pdf.

Suparta, W. and K.M. Alhasa, 2013. A comparison of ANFIS and MLP models for the prediction of precipitable water vapor. Proceedings of the IEEE International Conference on Space Science and Communication, July 1-3, 2013, Melaka, pp: 243-248.

Suparta, W. and K.M. Alhasa, 2013. Application of ANFIS model for prediction of zenith tropospheric delay. Proceedings of the 3rd International Conference on Instrumentation, Communications, Information Technology and Biomedical Engineering, November 7-8, 2013, Bandung, pp: 172-177.

Suparta, W. and K.M. Alhasa, 2013. Development of real-time precipitable water vapor monitoring system. Proceedings of the 3rd International Conference on Instrumentation, Communications, Information Technology and Biomedical Engineering, November 7-8, 2013, Bandung, pp: 135-140.

Suparta, W. and K.M. Alhasa, 2013. Estimation of Precipitable Water Vapor Using an Adaptive Neuro-Fuzzy Inference System Technique. In: Information and Communication Technology, Mustofa, K., E.J. Neuhold, A.M. Tjoa, E. Weippl and I. You (Eds.). Springer, New York, ISBN: 9783642368189, pp: 214-222.

Suparta, W., Z.A.A. Rashid, M.A.M. Ali, B. Yatim and G.J. Fraser, 2008. Observations of Antarctic precipitable water vapor and its response to the solar activity based on GPS sensing. J. Atmos. Sol-Terrestrial Phys., 70: 1419-1447.
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